Surface EMG based intelligent signal processing for exoskeleton

The goal of this paper is to develop an intelligent human-machine interface based on the Electromyographic (EMG) signals from limbs and other locations on the human body. The EMG based system is concerned with detection, processing, classification and control application to drive the exoskeleton system. Drawbacks with existing human robotic interface technology is that humans have to make many decisions which requires training. The key idea proposed is that the decisions and control information required for operating the robotic arms can be made by an intelligent signal processing system by sensing EMG activity via electrodes and estimate the parameters of the natural motion of the limbs.